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Volumn , Issue , 2008, Pages

Aerodynamic coefficient prediction of airfoils using neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; AERODYNAMIC COEFFICIENTS; AERODYNAMIC PARAMETERS; AIRCRAFT CONFIGURATIONS; AIRFOIL CONFIGURATION; AIRFOIL GEOMETRY; GENERIC CONFIGURATION; META MODEL; MULTI-LAYER PERCEPTRONS; MULTIDISCIPLINARY DESIGN AND OPTIMIZATION; NEW MODEL; NON-LINEAR MODEL; NONLINEAR PROBLEMS; POLYNOMIAL FUNCTIONS; TEST DATA;

EID: 78149427244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (10)
  • 3
    • 0024552399 scopus 로고
    • Xfoil: An analysis and design system for low reynolds number airfoils
    • University of Notre Dame
    • Drela, M., "Xfoil: An Analysis and Design System for Low Reynolds Number Airfoils", Conference on low Reynolds Numbers Airfoil Aerodynamics, University of Notre Dame, 1989.
    • (1989) Conference on Low Reynolds Numbers Airfoil Aerodynamics
    • Drela, M.1
  • 6
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan, M. T., and M. Menhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Transactions on Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 9
    • 46549090177 scopus 로고    scopus 로고
    • R14 version 7.0.4
    • Matlab tutorial, R14 version 7.0.4, 2005.
    • (2005) Matlab Tutorial


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.